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Improving classification of low-resource COVID-19 literature by using Named Entity Recognition

Lithgow-Serrano O, Cornelius J, Kanjirangat V, Méndez-Cruz CF, Rinaldi F

Automatic document classification for highly interrelated classes is a demanding task that becomes more challenging when there is little labeled data for training. Such is the case of the coronavirus...
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